Senior Staff Computer Vision/Machine Learning Deployment Engineer for xR (m/f/d)

Key Skills

3D Computer vision, Computer Vision (CV), CoreML, Machine learning techniques, OpenCV, SDLC, Software Development, TensorRT

Job Description

At Stryker we are dedicated to improving lives, with a passion for researching and developing new medical device products. As an engineer at Stryker, you will be proud of the work that you will be doing, using cutting-edge technologies to make healthcare better. Here, you will work in a supportive culture with other incredibly talented and intelligent people, creating industry-leading medical technology products. You will also have growth opportunities as we have a culture that supports your personal and professional development.

Need another reason to apply? Check out these 8 reasons to join Stryker’s engineering team: https://www.strykercareersblog.com/post/8-reasons-to-join-strykers-engineering-team 

Are you passionate about AI, driven to make healthcare better, and instinctively compelled by the opportunities to create something new? Then embark on a journey with our global team of master technologists coordinated in heart of the Silicon Valley, CA.

As a valued member of Stryker’s AI innovation unit, you will work alongside trailblazers, industry visionaries, innovators, and inventors who are committed to bringing computer vision, AI/ML and digital innovation to the operating room and other healthcare settings.

You’ll contribute to fast-paced cycles of innovation and develop core technologies that power a wide array of Stryker’s solutions, including: surgical robotics and navigation, image-guided surgery, treatment selection, outcome assessment, and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications, cloud services, and SDKs to embedded systems, edge devices, and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopaedics and neurosurgery to emergency care and operating room safety and efficiency – plus many more.

We are on a mission to create groundbreaking artificial intelligence and computer vision solutions that transform medicine in operating rooms and hospitals worldwide. Be a part of the journey, apply now!

Are you an outstanding Computer Vision (CV) and Machine Learning (ML) Deployment Engineer ready to make a lasting impact in the realm of AI-enhanced healthcare technology? Join our accomplished team and research, design, develop, and deploy innovative 2D/3D computer vision, augmented reality, mixed reality and deep learning-based algorithms into both existing and new medical device products. 

Your key responsibilities 

• Lead software implementation of Computer Vision (CV) and Artificial Intelligence (AI) systems on edge devices (iPhone, iPad, Android Tablets, Nvidia platform, etc.) as an integral part of AI-powered medical technology platform for the operating room.
• Translate product feature requirements to design inputs / specifications and come up with high-level software design to meet requirements and guide design tradeoff decisions.
• Design algorithm evaluation frameworks, develop unit tests for algorithm components, schedule and report integration and system test performance on a regular basis adopting CI/CD principles for AI systems. 
• Optimize and deploy algorithms (codebase, neural networks) on target hardware platforms, such as tablets and edge-computing devices to meet latency, memory, and performance requirements.
• Be the voice in the room that guides development work by ensuring work being done by the team is deployable in an end-to-end system. 

What are we looking for? 

• You have several years of professional experience in implementation of computer vision, machine learning and deep learning algorithms onto edge environments such as iOS, Android and/or NVIDIA Jetson platform.
• Experience in developing AI/ML inference pipeline using CoreML, TFLite, TensorRT, etc. and demonstrated understanding of computer vision, image analysis, image registration, sensor fusion, machine learning and deep learning algorithm building blocks.
• Experience optimizing inference pipelines on edge devices and familiarity with ROS/2 and perception libraries, including but not limited to OpenCV, PCL, Open3D, etc. 
• Demonstrated understanding of computer vision, image analysis, image registration, sensor fusion, machine learning and deep learning algorithm building blocks.
• You master the standard Software Development Life Cycle: knowledge in creating estimates for code implementation time/resource for assigned tasks and projects, and from using Application Lifecycle Management /Traceability tools as well as of regulatory and compliance standards applied to the SDLC (Software Development Life Cycle).